Por favor, use este identificador para citar o enlazar este ítem: http://ipicyt.repositorioinstitucional.mx/jspui/handle/1010/1710
Efficiency of quarantine and self-protection processes in epidemic spreading control on scale-free networks
JOSE DE JESUS ESQUIVEL GOMEZ
JUAN GONZALO BARAJAS RAMIREZ
En Embargo
31-12-2019
Atribución-NoComercial-SinDerivadas
https://doi.org/10.1063/1.5001176
Complex networks
Model
"One of the most effective mechanisms to contain the spread of an infectious disease through a population is the implementation of quarantine policies. However, its efficiency is affected by different aspects, for example, the structure of the underlining social network where highly connected individuals are more likely to become infected; therefore, the speed of the transmission of the decease is directly determined by the degree distribution of the network. Another aspect that influences the effectiveness of the quarantine is the self-protection processes of the individuals in the population, that is, they try to avoid contact with potentially infected individuals. In this paper, we investigate the efficiency of quarantine and self-protection processes in preventing the spreading of infectious diseases over complex networks with a power-law degree distribution [PðkÞ k] for different values. We propose two alternative scale-free models that result in power-law degree distributions above and below the exponent ¼ 3 associated with the conventional Barabasi-Albert model. Our results show that the exponent determines the effectiveness of these policies in controlling the spreading process. More precisely, we show that for the exponent below three, the quarantine mechanism loses effectiveness. However, the efficiency is improved if the quarantine is jointly implemented with a self-protection process driving the number of infected individuals significantly lower."
American Institute of Physics
2018
Artículo
Jose de Jesus Esquivel-Gómez, Juan Gonzalo Barajas-Ramírez. (2018). Efficiency of quarantine and self-protection processes in epidemic spreading control on scale-free networks Chaos 28, 013119
MATEMÁTICAS
Versión revisada
submittedVersion - Versión revisada
Aparece en las colecciones: Publicaciones Científicas Control y Sistemas Dinámicos